OPP001 📄 Overview An AI-driven SaMD that continuously analyzes multimodal patient data (wearables, EHR, genomics, social determinants) to generate personalized risk assessments, predict future health events (e.g., exacerbations, onset of chronic conditions), and provide actionable, context-aware preventive recommendations or early intervention alerts to patients and their care teams. Key technologies: 👤 Target users: 👍 Benefits Improved early detection & prevention • Reduced acute care episodes & hospitalizations • Enhanced patient self-management & adherence • Personalized care pathways & reduced physician burden Use bullets or new lines. 👎 Challenges Data privacy & security across diverse data sources • Addressing AI bias in diverse populations • Achieving robust clinical validation and regulatory clearance (SaMD Class II/III) • Ensuring seamless integration with existing EHRs and clinical workflows • User adoption and trust in AI recommendations 📋 Regulatory & Validation Requires clinical validation for safety, efficacy, and accuracy as SaMD. • Specific guidance needed for adaptive AI/ML algorithms. • Stringent cybersecurity and data privacy compliance (HIPAA, GDPR).